加纳与马拉维对比

加纳与马拉维：热带夜

2014 年热带夜：加纳为 356.8 夜，马拉维为 138.1 夜（CMIP6 气候模型中位数模拟）。 2014 年加纳的数值较高，高出 218.7 夜，是马拉维的 2.58 倍。

在地图上查看其变化

每年夜数 · CMIP6

加纳与马拉维：热带夜2014 年热带夜：加纳为 356.8 夜，马拉维为 138.1 夜（CMIP6 气候模型中位数模拟）。 2014 年加纳的数值较高，高出 218.7 夜，是马拉维的 2.58 倍。
加纳马拉维CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，加纳的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年加纳为 364.2 夜，马拉维为 213.3 夜。

逐年数据

每年夜数 · CMIP6

年份加纳马拉维
2014356.8138.1
2013355.8138.9
2012356.8137.4
2011355.7136.6
2010355.9132.4
2009353.2131.4
2008353.1130.8
2007353.8132.8
2006353.9129.8
2005352.7129.5
2004352.4133.4
2003353.8132.5
2002353.2130.3
2001354.9134
2000352.2126.6
1999350.2124.8
1998350.6127.1
1997350.5124.2
1996349.1121.3
1995348.9120.9
1994347.9118.4
1993347.1113.8
1992344.5114.1
1991348.4120.9
1990352.1123.8
1989347.9120.5
1988347.2120.8
1987346.6118.8
1986348.4121.1
1985347.2115.7
1984346.2116.2
1983344.8115.5
1982344.8115.1
1981346.8119
1980344.5116.9
1979346.4117.7
1978343.9114.8
1977345.9117.2
1976344.5114
1975345.3114
1974343115.2
1973344114.7
1972344.4113.8
1971342.7114.1
1970344115.8
1969342.5114.3
1968342110
1967342.7109.8
1966342.1111
1965342111.5
1964340106.3
1963342.8107.5
1962345.9114.7
1961344.1116
1960345.7117.4
1959344.6115.6
1958344.6116.4
1957344.1114.6
1956343.5111.4
1955342.5115.2
1954346.8113.9
1953344.5113
1952341.9113.5
1951343.8113.5
1950340.3112.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份加纳马拉维
2015356341.5–361.7145.7126.7–164.3
2016356.5341.4–361.5139.8122.6–157.4
2017355.2341.3–361.6143.6127–161.8
2018355.8345.7–362.1143.1124.6–162.6
2019353.9343.6–362.3143.8128.3–161.4
2020356341.7–362.9145127.3–165.8
2021356.9345.4–362.7145.3128–163.6
2022358.2342–362.6151130.1–169.1
2023356.7344–361.7149.2129.5–171.2
2024358.6347.7–363.4152.4130–172.6
2025357.1347.2–361.9151.1129.7–170.4
2026357.2343.5–362.7151.1126.2–173.8
2027357.5344.3–362.4154.4135.1–173.1
2028359.5348.6–363.6155.5134.6–174
2029358.8349–363.1159.8139.2–178.5
2030359.6350.6–363.2155.6138.7–174.5
2031360.8351–364161.1143.4–177.6
2032359.7346.4–363.9160.8141.3–181.3
2033360.2349–364.1161.3135.6–179.2
2034359.4350.8–363.1160.9138.9–185
2035360.5350.8–364164.3140.4–189.5
2036360.9350.6–364.9163.8137.6–182.5
2037361350.5–364166.9144.6–189.2
2038361.4354.4–363.9172.2148.4–191.2
2039361.3352.3–364.5164.8147.3–188.2
2040361.5352.2–365.2164.4146.4–189.7
2041361.3351.7–364.3169.3143.7–192.5
2042360.6352.3–364.3169.8146.3–197.8
2043360.6351.8–364167.5147.1–193.2
2044361.6353.6–364.8172.6148.3–197
2045361.1353.2–364.4170.4153.1–194.7
2046361.9353.1–364.1176.3151.2–203.1
2047362.3350.3–364.5178.7157.8–200.9
2048362.1354.7–365.3180.7158.9–204.1
2049362.6354–364.4176.7154–205.4
2050362.2355.3–364.4180.4155.2–204.9
2051362.3355.7–364.6182.9162.1–207.4
2052362.1354.2–365184.9163.2–209.6
2053362.4354.1–364.5177.2149.6–207.4
2054362.9354.8–364.6185.1157.1–208
2055362.5355.1–364.5186.1159.2–212.6
2056363.3355.6–365.7184.6158.5–214.3
2057363.2355.9–364.8184.7159.3–212.3
2058363356.3–364.9188.5163.8–214.7
2059362.9356.2–364.8189.8166.9–218.5
2060362.9354.1–365.7192.6163.4–218.1
2061363.2354–364.9186.4158.8–216.8
2062363.1355–364.9192.3163.9–218.6
2063363.2355.5–364.9189.2165.2–220.3
2064363.3356.6–365.6197161.3–218
2065363.7357.8–364.9193.1165.8–225.2
2066362.7356.9–364.8201170.1–224.7
2067363.6354.1–364.9193.1164.2–223.7
2068364.1356.3–365.8198.6163.7–227.1
2069362.8356.3–364.9199.4165.8–225
2070363.3356.2–364.9198.7168–226.7
2071363.5355.3–364.9199.3167.9–233.5
2072364.1355.6–365.8202.3173.2–226.2
2073363.6355.1–364.8205.4168.2–233.4
2074363.4355.4–364.8198.2175.4–227.7
2075363.4357–364.9199.6168.9–228.3
2076363.8358.4–365.8198.8169.8–225.2
2077363.8357.8–365202172.2–231.2
2078363.9356.6–364.9203.5175.8–232.1
2079364.2358–365203.6172.2–236.1
2080364.3357.8–366204.7172.2–234.3
2081363.8357.1–365202.2174.9–231.3
2082363.5357.1–364.9204.3178.3–228.6
2083364.1358.3–365205.8170.7–238.3
2084364358.5–365.9208.1175.9–235.6
2085364.1358.3–365211.1179.4–241
2086364.1357.8–365203.3175.4–237
2087364.1357.9–365205.3181.2–237.7
2088364.2356.4–365.9211.6174.7–240.6
2089363.9357.6–365208.9180.5–237.8
2090364.2357.6–365209.4173.4–243
2091363.9357.6–364.9214.3179.7–244.8
2092364.4356.6–366213.2176.8–242.3
2093364.4358.2–365212.5177.8–242.2
2094364.1357.9–365211.8179.7–241.5
2095364358.2–365216.9185–243.8
2096363.9358–366213.1182–247.6
2097363.9356.3–364.9210.8174.9–242.1
2098363.7357.8–364.9214.4181.5–242.2
2099363.9358.6–365213.5181.9–244.1
2100364.2357.6–365213.3181.5–246.3

分别查看各国

须知

  • 一年中气温始终高于 20 °C 的夜晚数，取全国平均。
  • 来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

各图层如何运作、数据从何而来，以及它们无法告诉你什么： 历年各国数据

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